聚斂性問題 的英文怎麼說

中文拼音 [jùliǎnxìngwèntí]
聚斂性問題 英文
convergent question
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 問 : Ⅰ動詞1 （請人解答） ask; inquire 2 （詢問; 慰問） question; ask about [after]; inquire about [aft...
  • 題 : Ⅰ名詞1. （題目） subject; title; topic; problem 2. （姓氏） a surname Ⅱ動詞（寫上） inscribe; write
  • 問題 : 1 （需回答的題目） question; problem 2 （需研究解決的矛盾等） problem; matter 3 （事故或意外） tr...
  1. Immune clone strategy is introduced into c - means algorithm, which can effectively tackle those problems of nonstability, slow convergence and nonideal clustering that exist in ids with the traditional c - means. the experimental results reveal that the system can detect variety of unknown abnormal intrusions, and demonstrate that our combined clustering algorithm has good performance

    實驗結果證明該上述兩種演算法有效地克服了傳統c -均值聚類演算法在解決入侵檢測問題中的穩定性差、收斂性不好和聚類效果不理想等問題，並能在一定程度上檢測到未知的異常入侵行為。
  2. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  3. In the first part, it gives the definition of creative thinking, and clarifies the relationship of two important modes of creative thinking, that is the collective thinking and the volatilizable thinking. in the second part, it reviews the general research achievement of the creative thinking teaching at home and abroad, it also introduces some modes of creative thinking teaching at home and abroad and the effect and evaluation of teaching experiments, and points out some existent problems

    第一部分對創造性思維的概念進行界說，分析了創造性思維中的兩種主要思維模式即聚斂思維與發散思維的關系；第二部分對國內外創造性思維教學的研究成果進行了概述，分別介紹了國內外創造性思維教學的四種模式、教學實驗的效果與評估及其存在的問題；第三、四部分是論文的重點。
  4. ( 4 ) seven kinds of spatial data clustering approaches are studied. and the technique to solve the problem of constraint - based spatial cluster analysis is explored. in addition, a new spatial clustering algorithm based on genetic algorithms is set forward and it can give attention to local constringency and the whole constringency

    （ 4 ）系統研究了七種典型的空間數據聚類方法，積極探索基於約束條件的空間聚類問題的解決方案；將遺傳演算法引入空間數據聚類領域，提出一種基於遺傳演算法的空間聚類演算法，該演算法兼顧了局部收斂和全局收斂性能。
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